I like Pinecone for its ease of use, fast vector search, and straightforward integration with AI applications. It makes it simple to build scalable semantic search and RAG workflows without needing to manage the underlying vector database infrastructure yourself.

The best part about Pinecone was that we could develop the OpenBiz knowledge base within Pinecone itself. It allows us to save vector embeddings and fetch appropriate knowledge based on the meaning of the user query and not just keywords. This proved to be highly beneficial in the case of our AI feature development since we could access the most relevant knowledge easily and present it to the AI. Another thing I like about Pinecone is that it enables us to efficiently manage the knowledge base and keep track of its storage and usage as we develop OpenBiz.

The best thing I like about this Pinecone platform is it makes vector search and other AI application development much easier to manage at a small to mid-scale level. They are fully managed setup and their fast retrieval and automatic indexing along with metadata filtering, are very much supportive for rag use cases, which makes it very useful for building reliable AI search and knowledge-based applications. Their user interface is also a bit intuitive and clean.